Overview

Brought to you by YData

Dataset statistics

Number of variables27
Number of observations90102
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.6 MiB
Average record size in memory216.0 B

Variable types

Numeric25
Categorical2

Alerts

Nhog has constant value "1"Constant
arrenda is highly overall correlated with rentasHigh correlation
bene_gob is highly overall correlated with transferHigh correlation
est_dis is highly overall correlated with folioviv and 2 other fieldsHigh correlation
folioviv is highly overall correlated with est_dis and 2 other fieldsHigh correlation
ing_cor is highly overall correlated with ingtrab and 1 other fieldsHigh correlation
ingtrab is highly overall correlated with ing_cor and 1 other fieldsHigh correlation
jubilacion is highly overall correlated with transferHigh correlation
rentas is highly overall correlated with arrenda and 1 other fieldsHigh correlation
trabajo is highly overall correlated with ing_cor and 1 other fieldsHigh correlation
transfer is highly overall correlated with bene_gob and 1 other fieldsHigh correlation
ubica_geo is highly overall correlated with est_dis and 2 other fieldsHigh correlation
upm is highly overall correlated with est_dis and 2 other fieldsHigh correlation
utilidad is highly overall correlated with rentasHigh correlation
foliohog is highly imbalanced (95.0%)Imbalance
ing_cor is highly skewed (γ1 = 31.74366943)Skewed
ingtrab is highly skewed (γ1 = 24.95893246)Skewed
negocio is highly skewed (γ1 = 98.2198896)Skewed
otros_trab is highly skewed (γ1 = 62.02720488)Skewed
rentas is highly skewed (γ1 = 77.09770943)Skewed
utilidad is highly skewed (γ1 = 79.74225541)Skewed
arrenda is highly skewed (γ1 = 41.6138965)Skewed
becas is highly skewed (γ1 = 41.88134948)Skewed
trans_inst is highly skewed (γ1 = 69.36147273)Skewed
otros_ing is highly skewed (γ1 = 37.3613505)Skewed
ingtrab has 10749 (11.9%) zerosZeros
trabajo has 22468 (24.9%) zerosZeros
negocio has 62945 (69.9%) zerosZeros
otros_trab has 75741 (84.1%) zerosZeros
rentas has 83031 (92.2%) zerosZeros
utilidad has 86689 (96.2%) zerosZeros
arrenda has 86125 (95.6%) zerosZeros
transfer has 26769 (29.7%) zerosZeros
jubilacion has 74465 (82.6%) zerosZeros
becas has 87177 (96.8%) zerosZeros
donativos has 71996 (79.9%) zerosZeros
remesas has 84894 (94.2%) zerosZeros
bene_gob has 58063 (64.4%) zerosZeros
transf_hog has 63397 (70.4%) zerosZeros
trans_inst has 75680 (84.0%) zerosZeros
estim_alqu has 12716 (14.1%) zerosZeros
otros_ing has 88527 (98.3%) zerosZeros

Reproduction

Analysis started2024-10-08 23:48:12.006368
Analysis finished2024-10-08 23:50:10.588597
Duration1 minute and 58.58 seconds
Software versionydata-profiling vv4.10.0
Download configurationconfig.json

Variables

folioviv
Real number (ℝ)

HIGH CORRELATION 

Distinct88823
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6216707 × 109
Minimum1.00005 × 108
Maximum3.2607979 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:10.830770image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.00005 × 108
5-th percentile2.0811381 × 108
Q18.0498141 × 108
median1.6012713 × 109
Q32.4038925 × 109
95-th percentile3.1027029 × 109
Maximum3.2607979 × 109
Range3.1607929 × 109
Interquartile range (IQR)1.5989111 × 109

Descriptive statistics

Standard deviation9.3069913 × 108
Coefficient of variation (CV)0.57391376
Kurtosis-1.2213675
Mean1.6216707 × 109
Median Absolute Deviation (MAD)7.9965575 × 108
Skewness0.064778842
Sum1.4611577 × 1014
Variance8.6620087 × 1017
MonotonicityNot monotonic
2024-10-08T16:50:11.363466image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1407220002 5
 
< 0.1%
2502171703 5
 
< 0.1%
1603924905 5
 
< 0.1%
1660465617 4
 
< 0.1%
2200676605 4
 
< 0.1%
2200167403 4
 
< 0.1%
1561095502 4
 
< 0.1%
1407125701 4
 
< 0.1%
703886812 4
 
< 0.1%
1603924415 4
 
< 0.1%
Other values (88813) 90059
> 99.9%
ValueCountFrequency (%)
100005002 1
< 0.1%
100005003 1
< 0.1%
100005004 1
< 0.1%
100012002 2
< 0.1%
100012004 1
< 0.1%
100012006 1
< 0.1%
100019301 1
< 0.1%
100019302 1
< 0.1%
100019303 1
< 0.1%
100019304 1
< 0.1%
ValueCountFrequency (%)
3260797912 1
< 0.1%
3260797910 1
< 0.1%
3260797909 1
< 0.1%
3260797908 1
< 0.1%
3260797907 1
< 0.1%
3260797706 1
< 0.1%
3260797705 1
< 0.1%
3260797704 1
< 0.1%
3260797703 1
< 0.1%
3260797702 1
< 0.1%

foliohog
Categorical

IMBALANCE 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.3 MiB
1
88823 
2
 
1110
3
 
148
4
 
18
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters90102
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 88823
98.6%
2 1110
 
1.2%
3 148
 
0.2%
4 18
 
< 0.1%
5 3
 
< 0.1%

Length

2024-10-08T16:50:11.582164image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-08T16:50:12.383250image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
1 88823
98.6%
2 1110
 
1.2%
3 148
 
0.2%
4 18
 
< 0.1%
5 3
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
1 88823
98.6%
2 1110
 
1.2%
3 148
 
0.2%
4 18
 
< 0.1%
5 3
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 90102
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 88823
98.6%
2 1110
 
1.2%
3 148
 
0.2%
4 18
 
< 0.1%
5 3
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 90102
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 88823
98.6%
2 1110
 
1.2%
3 148
 
0.2%
4 18
 
< 0.1%
5 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 90102
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 88823
98.6%
2 1110
 
1.2%
3 148
 
0.2%
4 18
 
< 0.1%
5 3
 
< 0.1%

ubica_geo
Real number (ℝ)

HIGH CORRELATION 

Distinct1132
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16002.163
Minimum1001
Maximum32057
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:12.955567image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1001
5-th percentile2002
Q18019
median16034
Q324028
95-th percentile31050
Maximum32057
Range31056
Interquartile range (IQR)16009

Descriptive statistics

Standard deviation9320.2796
Coefficient of variation (CV)0.58243875
Kurtosis-1.225268
Mean16002.163
Median Absolute Deviation (MAD)8002
Skewness0.064986373
Sum1.4418268 × 109
Variance86867612
MonotonicityNot monotonic
2024-10-08T16:50:13.744885image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1001 1544
 
1.7%
2002 1425
 
1.6%
2004 1378
 
1.5%
8037 1321
 
1.5%
22014 1308
 
1.5%
25006 1108
 
1.2%
3008 1038
 
1.2%
23005 1028
 
1.1%
3003 988
 
1.1%
5030 934
 
1.0%
Other values (1122) 78030
86.6%
ValueCountFrequency (%)
1001 1544
1.7%
1002 163
 
0.2%
1003 170
 
0.2%
1004 18
 
< 0.1%
1005 261
 
0.3%
1006 131
 
0.1%
1007 110
 
0.1%
1009 56
 
0.1%
1010 101
 
0.1%
1011 115
 
0.1%
ValueCountFrequency (%)
32057 21
 
< 0.1%
32056 247
0.3%
32055 36
 
< 0.1%
32054 55
 
0.1%
32053 66
 
0.1%
32052 23
 
< 0.1%
32051 38
 
< 0.1%
32050 23
 
< 0.1%
32049 44
 
< 0.1%
32048 57
 
0.1%

ing_cor
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct83659
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61489.962
Minimum0
Maximum7153770.5
Zeros9
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:14.085067image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13605.672
Q128385.688
median46073.685
Q374343.65
95-th percentile152728.36
Maximum7153770.5
Range7153770.5
Interquartile range (IQR)45957.962

Descriptive statistics

Standard deviation78324.843
Coefficient of variation (CV)1.2737826
Kurtosis2202.4889
Mean61489.962
Median Absolute Deviation (MAD)20882.605
Skewness31.743669
Sum5.5403686 × 109
Variance6.134781 × 109
MonotonicityIncreasing
2024-10-08T16:50:14.323890image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29347.82 29
 
< 0.1%
17608.69 23
 
< 0.1%
38057.49 21
 
< 0.1%
29508.19 21
 
< 0.1%
35409.83 21
 
< 0.1%
23478.26 20
 
< 0.1%
32251.04 17
 
< 0.1%
33702.65 17
 
< 0.1%
38152.17 17
 
< 0.1%
23415.14 17
 
< 0.1%
Other values (83649) 89899
99.8%
ValueCountFrequency (%)
0 9
< 0.1%
405 1
 
< 0.1%
580.64 1
 
< 0.1%
684.78 1
 
< 0.1%
900 1
 
< 0.1%
978.25 1
 
< 0.1%
1262.25 1
 
< 0.1%
1285.71 1
 
< 0.1%
1451.61 2
 
< 0.1%
1467.39 1
 
< 0.1%
ValueCountFrequency (%)
7153770.46 1
< 0.1%
6431318.87 1
< 0.1%
6124150.93 1
< 0.1%
5915139.37 1
< 0.1%
3771994 1
< 0.1%
3585983.13 1
< 0.1%
3283738.03 1
< 0.1%
3098499.46 1
< 0.1%
2667344.25 1
< 0.1%
2471432.01 1
< 0.1%

ingtrab
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct51549
Distinct (%)57.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40359.541
Minimum0
Maximum5891913.6
Zeros10749
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:14.786753image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112170.67
median29899.105
Q354327.952
95-th percentile115573.68
Maximum5891913.6
Range5891913.6
Interquartile range (IQR)42157.283

Descriptive statistics

Standard deviation52327.247
Coefficient of variation (CV)1.2965273
Kurtosis2157.9954
Mean40359.541
Median Absolute Deviation (MAD)20507.805
Skewness24.958932
Sum3.6364754 × 109
Variance2.7381408 × 109
MonotonicityNot monotonic
2024-10-08T16:50:15.054877image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10749
 
11.9%
17608.69 250
 
0.3%
29347.82 214
 
0.2%
23478.26 201
 
0.2%
17704.91 175
 
0.2%
19076.08 168
 
0.2%
23606.55 148
 
0.2%
11739.13 142
 
0.2%
35217.39 133
 
0.1%
15260.86 120
 
0.1%
Other values (51539) 77802
86.3%
ValueCountFrequency (%)
0 10749
11.9%
4.89 1
 
< 0.1%
4.91 1
 
< 0.1%
5.9 1
 
< 0.1%
5.96 1
 
< 0.1%
7.33 1
 
< 0.1%
8.85 2
 
< 0.1%
9.34 1
 
< 0.1%
9.78 3
 
< 0.1%
9.83 1
 
< 0.1%
ValueCountFrequency (%)
5891913.57 1
< 0.1%
3771994 1
< 0.1%
2667344.25 1
< 0.1%
2002740.74 1
< 0.1%
1571818.67 1
< 0.1%
1257295.08 1
< 0.1%
1218232.02 1
< 0.1%
1192872.89 1
< 0.1%
1187119.56 1
< 0.1%
1173913.04 1
< 0.1%

trabajo
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct35358
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33514.626
Minimum0
Maximum3771994
Zeros22468
Zeros (%)24.9%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:15.257832image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q149.18
median23867.4
Q347445.647
95-th percentile103922.39
Maximum3771994
Range3771994
Interquartile range (IQR)47396.467

Descriptive statistics

Standard deviation44828.949
Coefficient of variation (CV)1.3375936
Kurtosis752.29531
Mean33514.626
Median Absolute Deviation (MAD)23718.23
Skewness13.196348
Sum3.0197348 × 109
Variance2.0096347 × 109
MonotonicityNot monotonic
2024-10-08T16:50:15.498524image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22468
 
24.9%
17608.69 415
 
0.5%
23478.26 297
 
0.3%
17704.91 262
 
0.3%
29347.82 258
 
0.3%
11739.13 240
 
0.3%
19076.08 225
 
0.2%
23606.55 197
 
0.2%
14086.95 182
 
0.2%
15260.86 180
 
0.2%
Other values (35348) 65378
72.6%
ValueCountFrequency (%)
0 22468
24.9%
4.89 2
 
< 0.1%
5.86 1
 
< 0.1%
7.33 2
 
< 0.1%
9.34 1
 
< 0.1%
9.78 1
 
< 0.1%
9.83 1
 
< 0.1%
12.29 1
 
< 0.1%
14.67 2
 
< 0.1%
14.75 1
 
< 0.1%
ValueCountFrequency (%)
3771994 1
< 0.1%
2655737.7 1
< 0.1%
2002740.74 1
< 0.1%
1218232.02 1
< 0.1%
1192872.89 1
< 0.1%
1187119.56 1
< 0.1%
1173913.04 1
< 0.1%
1022950.81 1
< 0.1%
1017635.83 1
< 0.1%
1003278.68 1
< 0.1%

negocio
Real number (ℝ)

SKEWED  ZEROS 

Distinct18648
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5525.9139
Minimum0
Maximum5712891.8
Zeros62945
Zeros (%)69.9%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:15.758448image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31549.1775
95-th percentile29641.3
Maximum5712891.8
Range5712891.8
Interquartile range (IQR)1549.1775

Descriptive statistics

Standard deviation28303.905
Coefficient of variation (CV)5.1220314
Kurtosis18550.603
Mean5525.9139
Median Absolute Deviation (MAD)0
Skewness98.21989
Sum4.978959 × 108
Variance8.0111103 × 108
MonotonicityNot monotonic
2024-10-08T16:50:16.000421image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62945
69.9%
5869.56 30
 
< 0.1%
4402.17 25
 
< 0.1%
880.43 25
 
< 0.1%
2934.78 24
 
< 0.1%
14673.91 24
 
< 0.1%
293.47 24
 
< 0.1%
7336.95 23
 
< 0.1%
2201.08 23
 
< 0.1%
5901.63 22
 
< 0.1%
Other values (18638) 26937
29.9%
ValueCountFrequency (%)
0 62945
69.9%
2.93 3
 
< 0.1%
2.98 1
 
< 0.1%
3.93 1
 
< 0.1%
4.91 1
 
< 0.1%
5.86 1
 
< 0.1%
5.9 3
 
< 0.1%
5.96 1
 
< 0.1%
8.8 1
 
< 0.1%
8.85 4
 
< 0.1%
ValueCountFrequency (%)
5712891.84 1
< 0.1%
1473748.04 1
< 0.1%
1120231.94 1
< 0.1%
939538.02 1
< 0.1%
889524.59 1
< 0.1%
889369.06 1
< 0.1%
784681.62 1
< 0.1%
745018.03 1
< 0.1%
718555.09 1
< 0.1%
697524.59 1
< 0.1%

otros_trab
Real number (ℝ)

SKEWED  ZEROS 

Distinct3085
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1319.0014
Minimum0
Maximum1257295.1
Zeros75741
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:16.226253image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8608.69
Maximum1257295.1
Range1257295.1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7439.1965
Coefficient of variation (CV)5.6400216
Kurtosis9238.814
Mean1319.0014
Median Absolute Deviation (MAD)0
Skewness62.027205
Sum1.1884467 × 108
Variance55341644
MonotonicityNot monotonic
2024-10-08T16:50:16.471095image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 75741
84.1%
2934.78 181
 
0.2%
5869.56 175
 
0.2%
978.26 153
 
0.2%
1467.39 148
 
0.2%
1956.52 139
 
0.2%
489.13 135
 
0.1%
3913.04 127
 
0.1%
11739.13 121
 
0.1%
733.69 117
 
0.1%
Other values (3075) 13065
 
14.5%
ValueCountFrequency (%)
0 75741
84.1%
0.48 4
 
< 0.1%
0.49 8
 
< 0.1%
4.91 1
 
< 0.1%
9.83 1
 
< 0.1%
11.93 2
 
< 0.1%
14.67 1
 
< 0.1%
14.75 1
 
< 0.1%
17.4 1
 
< 0.1%
17.7 1
 
< 0.1%
ValueCountFrequency (%)
1257295.08 1
< 0.1%
393442.62 1
< 0.1%
250819.67 1
< 0.1%
250819.66 1
< 0.1%
249456.52 1
< 0.1%
236812.49 1
< 0.1%
220108.69 1
< 0.1%
196721.31 1
< 0.1%
195652.17 1
< 0.1%
191213.11 1
< 0.1%

rentas
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct3771
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3585.6571
Minimum0
Maximum6854754.1
Zeros83031
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:16.727137image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8360.297
Maximum6854754.1
Range6854754.1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51810.688
Coefficient of variation (CV)14.449426
Kurtosis8421.9425
Mean3585.6571
Median Absolute Deviation (MAD)0
Skewness77.097709
Sum3.2307488 × 108
Variance2.6843474 × 109
MonotonicityNot monotonic
2024-10-08T16:50:16.957384image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 83031
92.2%
5869.56 169
 
0.2%
4402.17 126
 
0.1%
2934.78 120
 
0.1%
8804.34 116
 
0.1%
7336.95 88
 
0.1%
5901.63 84
 
0.1%
14673.91 82
 
0.1%
2950.81 80
 
0.1%
4426.22 72
 
0.1%
Other values (3761) 6134
 
6.8%
ValueCountFrequency (%)
0 83031
92.2%
0.97 1
 
< 0.1%
2.44 1
 
< 0.1%
4.89 1
 
< 0.1%
14.67 2
 
< 0.1%
14.91 1
 
< 0.1%
15.41 1
 
< 0.1%
19.67 1
 
< 0.1%
23.47 1
 
< 0.1%
24.45 1
 
< 0.1%
ValueCountFrequency (%)
6854754.09 1
< 0.1%
6329445.65 1
< 0.1%
5894135.28 1
< 0.1%
3499259.66 1
< 0.1%
3268738.03 1
< 0.1%
3077608.69 1
< 0.1%
2016551.93 1
< 0.1%
1910933.8 1
< 0.1%
1855760.86 1
< 0.1%
1750848.19 1
< 0.1%

utilidad
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct3214
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2922.5637
Minimum0
Maximum6854754.1
Zeros86689
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:17.179284image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6854754.1
Range6854754.1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50880.21
Coefficient of variation (CV)17.409444
Kurtosis8845.0679
Mean2922.5637
Median Absolute Deviation (MAD)0
Skewness79.742255
Sum2.6332884 × 108
Variance2.5887957 × 109
MonotonicityNot monotonic
2024-10-08T16:50:17.423710image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 86689
96.2%
19076.08 5
 
< 0.1%
19565.21 5
 
< 0.1%
5901.63 4
 
< 0.1%
29836.95 4
 
< 0.1%
10760.86 4
 
< 0.1%
38152.17 4
 
< 0.1%
38360.65 4
 
< 0.1%
14754.09 4
 
< 0.1%
17999.99 4
 
< 0.1%
Other values (3204) 3375
 
3.7%
ValueCountFrequency (%)
0 86689
96.2%
29.34 1
 
< 0.1%
32.45 1
 
< 0.1%
35.21 1
 
< 0.1%
50.16 1
 
< 0.1%
70.6 1
 
< 0.1%
108.58 1
 
< 0.1%
122.28 3
 
< 0.1%
124.72 1
 
< 0.1%
147.54 1
 
< 0.1%
ValueCountFrequency (%)
6854754.09 1
< 0.1%
6329445.65 1
< 0.1%
5735019.28 1
< 0.1%
3499259.66 1
< 0.1%
3268738.03 1
< 0.1%
3077608.69 1
< 0.1%
2016551.93 1
< 0.1%
1910933.8 1
< 0.1%
1855760.86 1
< 0.1%
1707201.14 1
< 0.1%

arrenda
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct779
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean663.09341
Minimum0
Maximum733695.65
Zeros86125
Zeros (%)95.6%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:17.730668image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum733695.65
Range733695.65
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7270.2043
Coefficient of variation (CV)10.964073
Kurtosis2920.8161
Mean663.09341
Median Absolute Deviation (MAD)0
Skewness41.613896
Sum59746042
Variance52855871
MonotonicityNot monotonic
2024-10-08T16:50:18.059117image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 86125
95.6%
5869.56 181
 
0.2%
4402.17 130
 
0.1%
2934.78 123
 
0.1%
8804.34 123
 
0.1%
7336.95 93
 
0.1%
14673.91 93
 
0.1%
5901.63 87
 
0.1%
2950.81 84
 
0.1%
11739.13 76
 
0.1%
Other values (769) 2987
 
3.3%
ValueCountFrequency (%)
0 86125
95.6%
0.97 1
 
< 0.1%
2.44 1
 
< 0.1%
4.89 1
 
< 0.1%
11.73 1
 
< 0.1%
14.67 2
 
< 0.1%
14.91 1
 
< 0.1%
15.41 1
 
< 0.1%
19.67 1
 
< 0.1%
23.47 1
 
< 0.1%
ValueCountFrequency (%)
733695.65 1
< 0.1%
608967.38 1
< 0.1%
596685.07 1
< 0.1%
545901.63 1
< 0.1%
352173.91 1
< 0.1%
306684.77 1
< 0.1%
295081.96 1
< 0.1%
293478.26 2
< 0.1%
287608.69 1
< 0.1%
264130.43 1
< 0.1%

transfer
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct33687
Distinct (%)37.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10901.155
Minimum0
Maximum1001867.4
Zeros26769
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:18.364059image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3692.92
Q312913.03
95-th percentile44932.018
Maximum1001867.4
Range1001867.4
Interquartile range (IQR)12913.03

Descriptive statistics

Standard deviation21915.523
Coefficient of variation (CV)2.0103855
Kurtosis178.59369
Mean10901.155
Median Absolute Deviation (MAD)3692.92
Skewness8.2642896
Sum9.8221585 × 108
Variance4.8029016 × 108
MonotonicityNot monotonic
2024-10-08T16:50:18.633817image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26769
29.7%
2347.82 403
 
0.4%
782.6 400
 
0.4%
2571.42 357
 
0.4%
5649.45 350
 
0.4%
5869.56 258
 
0.3%
3857.14 253
 
0.3%
1285.71 252
 
0.3%
1565.21 252
 
0.3%
821.73 245
 
0.3%
Other values (33677) 60563
67.2%
ValueCountFrequency (%)
0 26769
29.7%
7.33 1
 
< 0.1%
9.78 1
 
< 0.1%
9.83 1
 
< 0.1%
14.67 2
 
< 0.1%
19.56 3
 
< 0.1%
23.22 1
 
< 0.1%
24.45 8
 
< 0.1%
24.59 2
 
< 0.1%
24.86 1
 
< 0.1%
ValueCountFrequency (%)
1001867.4 1
< 0.1%
930803 1
< 0.1%
805327.85 1
< 0.1%
694045.54 1
< 0.1%
688524.59 1
< 0.1%
575535.31 1
< 0.1%
538695.59 1
< 0.1%
531147.54 1
< 0.1%
505151.76 1
< 0.1%
498913.04 1
< 0.1%

jubilacion
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct2323
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4722.8454
Minimum0
Maximum688524.59
Zeros74465
Zeros (%)82.6%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:18.875498image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile29347.82
Maximum688524.59
Range688524.59
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17245.754
Coefficient of variation (CV)3.6515601
Kurtosis111.02142
Mean4722.8454
Median Absolute Deviation (MAD)0
Skewness7.7315953
Sum4.2553782 × 108
Variance2.9741602 × 108
MonotonicityNot monotonic
2024-10-08T16:50:19.122690image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 74465
82.6%
8804.34 522
 
0.6%
8852.45 348
 
0.4%
11739.13 325
 
0.4%
9391.3 273
 
0.3%
14673.91 271
 
0.3%
5869.56 241
 
0.3%
17608.69 240
 
0.3%
29347.82 229
 
0.3%
23478.26 226
 
0.3%
Other values (2313) 12962
 
14.4%
ValueCountFrequency (%)
0 74465
82.6%
98.36 1
 
< 0.1%
99.44 1
 
< 0.1%
170.21 1
 
< 0.1%
177.04 1
 
< 0.1%
220.1 1
 
< 0.1%
244.56 3
 
< 0.1%
245.9 5
 
< 0.1%
248.61 2
 
< 0.1%
264.13 1
 
< 0.1%
ValueCountFrequency (%)
688524.59 1
< 0.1%
531147.54 1
< 0.1%
498913.04 1
< 0.1%
440217.38 1
< 0.1%
402065.21 1
< 0.1%
387391.3 1
< 0.1%
364426.22 1
< 0.1%
357049.17 1
< 0.1%
354098.36 1
< 0.1%
354098.35 2
< 0.1%

becas
Real number (ℝ)

SKEWED  ZEROS 

Distinct856
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.16752
Minimum0
Maximum153831.51
Zeros87177
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:19.383567image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum153831.51
Range153831.51
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1548.6072
Coefficient of variation (CV)14.725147
Kurtosis2515.1809
Mean105.16752
Median Absolute Deviation (MAD)0
Skewness41.881349
Sum9475804.1
Variance2398184.3
MonotonicityNot monotonic
2024-10-08T16:50:19.825754image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 87177
96.8%
782.6 136
 
0.2%
2347.82 120
 
0.1%
786.88 94
 
0.1%
1565.21 79
 
0.1%
821.73 49
 
0.1%
2360.65 49
 
0.1%
1573.77 41
 
< 0.1%
733.69 40
 
< 0.1%
2465.21 40
 
< 0.1%
Other values (846) 2277
 
2.5%
ValueCountFrequency (%)
0 87177
96.8%
97.82 2
 
< 0.1%
98.36 1
 
< 0.1%
122.28 1
 
< 0.1%
146.73 4
 
< 0.1%
147.54 2
 
< 0.1%
161.41 1
 
< 0.1%
176.51 1
 
< 0.1%
195.65 3
 
< 0.1%
196.72 4
 
< 0.1%
ValueCountFrequency (%)
153831.51 1
< 0.1%
118032.78 1
< 0.1%
100956.52 1
< 0.1%
94279.88 1
< 0.1%
88043.47 1
< 0.1%
83535.9 1
< 0.1%
70819.66 1
< 0.1%
65635.35 1
< 0.1%
59016.39 1
< 0.1%
58695.65 1
< 0.1%

donativos
Real number (ℝ)

ZEROS 

Distinct2578
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1305.0448
Minimum0
Maximum413114.75
Zeros71996
Zeros (%)79.9%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:20.102797image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8606.55
Maximum413114.75
Range413114.75
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5071.8279
Coefficient of variation (CV)3.8863249
Kurtosis838.8906
Mean1305.0448
Median Absolute Deviation (MAD)0
Skewness16.505524
Sum1.1758714 × 108
Variance25723438
MonotonicityNot monotonic
2024-10-08T16:50:20.444691image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71996
79.9%
5869.56 612
 
0.7%
2934.78 610
 
0.7%
1467.39 364
 
0.4%
5901.63 352
 
0.4%
8804.34 318
 
0.4%
2950.81 301
 
0.3%
11739.13 280
 
0.3%
978.26 257
 
0.3%
4402.17 244
 
0.3%
Other values (2568) 14768
 
16.4%
ValueCountFrequency (%)
0 71996
79.9%
2.45 1
 
< 0.1%
4.89 1
 
< 0.1%
4.91 2
 
< 0.1%
9.78 5
 
< 0.1%
9.82 1
 
< 0.1%
9.83 4
 
< 0.1%
9.94 2
 
< 0.1%
14.67 1
 
< 0.1%
14.75 2
 
< 0.1%
ValueCountFrequency (%)
413114.75 1
< 0.1%
354098.36 1
< 0.1%
176086.95 1
< 0.1%
146739.13 1
< 0.1%
141147.53 1
< 0.1%
125303.86 1
< 0.1%
118032.78 1
< 0.1%
117391.29 1
< 0.1%
115081.96 1
< 0.1%
103278.68 2
< 0.1%

remesas
Real number (ℝ)

ZEROS 

Distinct1361
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean848.69716
Minimum0
Maximum238524.59
Zeros84894
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:20.727859image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1467.39
Maximum238524.59
Range238524.59
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5791.9844
Coefficient of variation (CV)6.8245597
Kurtosis249.15406
Mean848.69716
Median Absolute Deviation (MAD)0
Skewness12.884903
Sum76469311
Variance33547084
MonotonicityNot monotonic
2024-10-08T16:50:21.031521image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 84894
94.2%
5869.56 128
 
0.1%
2934.78 124
 
0.1%
11739.13 108
 
0.1%
978.26 101
 
0.1%
29347.82 82
 
0.1%
8804.34 82
 
0.1%
5901.63 76
 
0.1%
14673.91 75
 
0.1%
1467.39 74
 
0.1%
Other values (1351) 4358
 
4.8%
ValueCountFrequency (%)
0 84894
94.2%
48.91 1
 
< 0.1%
49.18 1
 
< 0.1%
49.72 1
 
< 0.1%
58.69 1
 
< 0.1%
73.36 1
 
< 0.1%
73.77 1
 
< 0.1%
74.58 1
 
< 0.1%
97.82 6
 
< 0.1%
98.36 3
 
< 0.1%
ValueCountFrequency (%)
238524.59 1
< 0.1%
205434.78 1
< 0.1%
200655.73 1
< 0.1%
181967.21 1
< 0.1%
181721.28 1
< 0.1%
174619.56 1
< 0.1%
165594.52 1
< 0.1%
155543.47 1
< 0.1%
149171.27 1
< 0.1%
147540.98 1
< 0.1%

bene_gob
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3515
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1849.1881
Minimum0
Maximum63195.64
Zeros58063
Zeros (%)64.4%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:21.440359image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32611.225
95-th percentile9447.51
Maximum63195.64
Range63195.64
Interquartile range (IQR)2611.225

Descriptive statistics

Standard deviation3366.5122
Coefficient of variation (CV)1.8205353
Kurtosis10.929003
Mean1849.1881
Median Absolute Deviation (MAD)0
Skewness2.5630489
Sum1.6661555 × 108
Variance11333404
MonotonicityNot monotonic
2024-10-08T16:50:21.908012image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58063
64.4%
5649.45 2123
 
2.4%
5576.08 1222
 
1.4%
5680.32 1182
 
1.3%
782.6 791
 
0.9%
5606.55 778
 
0.9%
3766.3 761
 
0.8%
11298.9 741
 
0.8%
2347.82 731
 
0.8%
3786.88 713
 
0.8%
Other values (3505) 22997
 
25.5%
ValueCountFrequency (%)
0 58063
64.4%
98.36 1
 
< 0.1%
147.54 1
 
< 0.1%
171.19 1
 
< 0.1%
196.72 2
 
< 0.1%
221.31 1
 
< 0.1%
244.56 4
 
< 0.1%
245.9 3
 
< 0.1%
248.61 1
 
< 0.1%
256.79 1
 
< 0.1%
ValueCountFrequency (%)
63195.64 1
< 0.1%
48961.94 1
< 0.1%
48196.72 1
< 0.1%
46467.38 1
< 0.1%
45914.72 1
< 0.1%
45326.17 1
< 0.1%
44021.73 1
< 0.1%
42983.6 1
< 0.1%
42116.02 1
< 0.1%
40646.72 1
< 0.1%

transf_hog
Real number (ℝ)

ZEROS 

Distinct9528
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1512.3168
Minimum0
Maximum465000
Zeros63397
Zeros (%)70.4%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:22.187903image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3771.42
95-th percentile8614.2595
Maximum465000
Range465000
Interquartile range (IQR)771.42

Descriptive statistics

Standard deviation4697.9486
Coefficient of variation (CV)3.106458
Kurtosis1235.2112
Mean1512.3168
Median Absolute Deviation (MAD)0
Skewness18.42795
Sum1.3626277 × 108
Variance22070721
MonotonicityNot monotonic
2024-10-08T16:50:22.674094image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63397
70.4%
2571.42 864
 
1.0%
1285.71 661
 
0.7%
3857.14 497
 
0.6%
1928.57 460
 
0.5%
642.85 369
 
0.4%
771.42 327
 
0.4%
1028.57 297
 
0.3%
3214.28 289
 
0.3%
1542.85 280
 
0.3%
Other values (9518) 22661
 
25.2%
ValueCountFrequency (%)
0 63397
70.4%
7.82 1
 
< 0.1%
11.73 1
 
< 0.1%
14.67 1
 
< 0.1%
17.11 1
 
< 0.1%
19.56 1
 
< 0.1%
24.45 2
 
< 0.1%
25.71 3
 
< 0.1%
29.03 2
 
< 0.1%
29.34 6
 
< 0.1%
ValueCountFrequency (%)
465000 1
< 0.1%
236249.98 1
< 0.1%
219940.07 1
< 0.1%
154799.99 1
< 0.1%
127501.35 1
< 0.1%
106971.4 1
< 0.1%
102450.32 1
< 0.1%
95806.44 1
< 0.1%
95677.71 1
< 0.1%
95142.73 1
< 0.1%

trans_inst
Real number (ℝ)

SKEWED  ZEROS 

Distinct4899
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean557.89502
Minimum0
Maximum978260.86
Zeros75680
Zeros (%)84.0%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:22.992846image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1775.485
Maximum978260.86
Range978260.86
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7606.4516
Coefficient of variation (CV)13.634199
Kurtosis6879.7145
Mean557.89502
Median Absolute Deviation (MAD)0
Skewness69.361473
Sum50267457
Variance57858106
MonotonicityNot monotonic
2024-10-08T16:50:23.307216image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 75680
84.0%
293.47 324
 
0.4%
97.82 238
 
0.3%
195.65 223
 
0.2%
586.95 202
 
0.2%
146.73 179
 
0.2%
489.13 178
 
0.2%
48.91 175
 
0.2%
782.6 160
 
0.2%
391.3 147
 
0.2%
Other values (4889) 12596
 
14.0%
ValueCountFrequency (%)
0 75680
84.0%
0.97 1
 
< 0.1%
3.88 1
 
< 0.1%
4.89 1
 
< 0.1%
6.35 1
 
< 0.1%
7.33 1
 
< 0.1%
9.78 4
 
< 0.1%
9.94 1
 
< 0.1%
11.61 1
 
< 0.1%
12.85 1
 
< 0.1%
ValueCountFrequency (%)
978260.86 1
< 0.1%
918195.63 1
< 0.1%
594560.5 1
< 0.1%
574239.12 1
< 0.1%
490323.9 1
< 0.1%
450923.46 1
< 0.1%
448783.01 1
< 0.1%
340434.78 1
< 0.1%
331043.46 1
< 0.1%
293478.26 2
< 0.1%

estim_alqu
Real number (ℝ)

ZEROS 

Distinct268
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6592.663
Minimum0
Maximum348387.09
Zeros12716
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:23.577060image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12903.22
median4500
Q38709.67
95-th percentile18000
Maximum348387.09
Range348387.09
Interquartile range (IQR)5806.45

Descriptive statistics

Standard deviation8338.0001
Coefficient of variation (CV)1.2647393
Kurtosis110.31198
Mean6592.663
Median Absolute Deviation (MAD)2758.06
Skewness6.5759822
Sum5.9401212 × 108
Variance69522245
MonotonicityNot monotonic
2024-10-08T16:50:23.875872image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12716
 
14.1%
5806.45 7824
 
8.7%
4354.83 7273
 
8.1%
2903.22 6941
 
7.7%
8709.67 5037
 
5.6%
6000 3905
 
4.3%
7258.06 3697
 
4.1%
4500 3697
 
4.1%
3000 3490
 
3.9%
9000 2576
 
2.9%
Other values (258) 32946
36.6%
ValueCountFrequency (%)
0 12716
14.1%
145.16 3
 
< 0.1%
174.19 1
 
< 0.1%
290.32 50
 
0.1%
300 25
 
< 0.1%
348.38 1
 
< 0.1%
377.41 1
 
< 0.1%
435.48 8
 
< 0.1%
450 6
 
< 0.1%
480 2
 
< 0.1%
ValueCountFrequency (%)
348387.09 1
 
< 0.1%
290322.58 1
 
< 0.1%
290319.67 1
 
< 0.1%
210000 1
 
< 0.1%
203225.8 2
 
< 0.1%
150000 4
< 0.1%
145161.29 6
< 0.1%
137903.22 1
 
< 0.1%
135000 2
 
< 0.1%
130645.16 1
 
< 0.1%

otros_ing
Real number (ℝ)

SKEWED  ZEROS 

Distinct585
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.946143
Minimum0
Maximum73369.56
Zeros88527
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:24.157058image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum73369.56
Range73369.56
Interquartile range (IQR)0

Descriptive statistics

Standard deviation973.266
Coefficient of variation (CV)19.103821
Kurtosis1880.5422
Mean50.946143
Median Absolute Deviation (MAD)0
Skewness37.36135
Sum4590349.4
Variance947246.72
MonotonicityNot monotonic
2024-10-08T16:50:24.424643image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 88527
98.3%
48.91 42
 
< 0.1%
24.45 41
 
< 0.1%
9.78 36
 
< 0.1%
244.56 32
 
< 0.1%
97.82 30
 
< 0.1%
24.59 25
 
< 0.1%
98.36 24
 
< 0.1%
49.18 23
 
< 0.1%
146.73 23
 
< 0.1%
Other values (575) 1299
 
1.4%
ValueCountFrequency (%)
0 88527
98.3%
0.48 2
 
< 0.1%
0.49 2
 
< 0.1%
0.97 1
 
< 0.1%
0.99 1
 
< 0.1%
1.46 2
 
< 0.1%
2.44 8
 
< 0.1%
2.45 5
 
< 0.1%
2.48 2
 
< 0.1%
2.93 1
 
< 0.1%
ValueCountFrequency (%)
73369.56 1
< 0.1%
71602.2 1
< 0.1%
59999.99 1
< 0.1%
59171.27 1
< 0.1%
59016.39 1
< 0.1%
55760.86 1
< 0.1%
51974.98 1
< 0.1%
49304.34 1
< 0.1%
49180.32 1
< 0.1%
38152.17 1
< 0.1%

factor
Real number (ℝ)

Distinct1751
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean416.86226
Minimum6
Maximum6470
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:24.690203image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile57
Q1156
median283
Q3530
95-th percentile1268
Maximum6470
Range6464
Interquartile range (IQR)374

Descriptive statistics

Standard deviation419.40616
Coefficient of variation (CV)1.0061025
Kurtosis11.597191
Mean416.86226
Median Absolute Deviation (MAD)159
Skewness2.6941884
Sum37560123
Variance175901.53
MonotonicityNot monotonic
2024-10-08T16:50:25.004668image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
119 421
 
0.5%
115 396
 
0.4%
102 386
 
0.4%
106 336
 
0.4%
121 333
 
0.4%
190 332
 
0.4%
105 331
 
0.4%
104 325
 
0.4%
232 313
 
0.3%
239 306
 
0.3%
Other values (1741) 86623
96.1%
ValueCountFrequency (%)
6 19
 
< 0.1%
9 30
 
< 0.1%
10 20
 
< 0.1%
15 20
 
< 0.1%
16 16
 
< 0.1%
17 73
 
0.1%
18 56
 
0.1%
19 248
0.3%
20 165
0.2%
21 116
0.1%
ValueCountFrequency (%)
6470 5
< 0.1%
6133 4
< 0.1%
3762 4
< 0.1%
3472 6
< 0.1%
3455 2
 
< 0.1%
3402 2
 
< 0.1%
3340 6
< 0.1%
3253 4
< 0.1%
3211 4
< 0.1%
3196 6
< 0.1%

upm
Real number (ℝ)

HIGH CORRELATION 

Distinct10211
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5252.5255
Minimum1
Maximum10232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:25.275277image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile662
Q12771
median5272.5
Q37785
95-th percentile9897
Maximum10232
Range10231
Interquartile range (IQR)5014

Descriptive statistics

Standard deviation2943.6782
Coefficient of variation (CV)0.56043101
Kurtosis-1.1529203
Mean5252.5255
Median Absolute Deviation (MAD)2509.5
Skewness-0.028698539
Sum4.7326305 × 108
Variance8665241.3
MonotonicityNot monotonic
2024-10-08T16:50:25.553454image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1002 48
 
0.1%
5345 30
 
< 0.1%
5583 28
 
< 0.1%
7193 28
 
< 0.1%
7143 27
 
< 0.1%
5365 27
 
< 0.1%
5348 27
 
< 0.1%
5128 26
 
< 0.1%
7791 26
 
< 0.1%
7124 26
 
< 0.1%
Other values (10201) 89809
99.7%
ValueCountFrequency (%)
1 3
< 0.1%
2 4
< 0.1%
3 4
< 0.1%
4 6
< 0.1%
5 4
< 0.1%
6 5
< 0.1%
7 3
< 0.1%
8 6
< 0.1%
9 5
< 0.1%
10 6
< 0.1%
ValueCountFrequency (%)
10232 23
< 0.1%
10231 23
< 0.1%
10230 19
< 0.1%
10229 20
< 0.1%
10228 19
< 0.1%
10227 20
< 0.1%
10226 17
< 0.1%
10225 19
< 0.1%
10224 19
< 0.1%
10223 20
< 0.1%

est_dis
Real number (ℝ)

HIGH CORRELATION 

Distinct560
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263.85307
Minimum1
Maximum560
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:25.992662image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile28
Q1123
median257
Q3396
95-th percentile541
Maximum560
Range559
Interquartile range (IQR)273

Descriptive statistics

Standard deviation163.03641
Coefficient of variation (CV)0.61790608
Kurtosis-1.1317371
Mean263.85307
Median Absolute Deviation (MAD)137
Skewness0.13020831
Sum23773689
Variance26580.872
MonotonicityNot monotonic
2024-10-08T16:50:26.708271image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 1493
 
1.7%
333 1447
 
1.6%
532 1218
 
1.4%
201 1200
 
1.3%
369 1026
 
1.1%
399 1013
 
1.1%
11 982
 
1.1%
139 937
 
1.0%
97 926
 
1.0%
116 916
 
1.0%
Other values (550) 78944
87.6%
ValueCountFrequency (%)
1 404
0.4%
2 621
0.7%
3 238
 
0.3%
4 54
 
0.1%
5 18
 
< 0.1%
6 18
 
< 0.1%
7 137
 
0.2%
8 45
 
< 0.1%
9 43
 
< 0.1%
10 109
 
0.1%
ValueCountFrequency (%)
560 637
0.7%
559 345
0.4%
558 199
 
0.2%
557 298
0.3%
556 142
 
0.2%
555 255
0.3%
554 117
 
0.1%
553 85
 
0.1%
552 98
 
0.1%
551 245
 
0.3%

entidad
Real number (ℝ)

Distinct30
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.09426
Minimum10
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:27.065473image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10
Q117
median24
Q331
95-th percentile80
Maximum90
Range80
Interquartile range (IQR)14

Descriptive statistics

Standard deviation20.523614
Coefficient of variation (CV)0.68197771
Kurtosis1.5412649
Mean30.09426
Median Absolute Deviation (MAD)7
Skewness1.5754285
Sum2711553
Variance421.21875
MonotonicityNot monotonic
2024-10-08T16:50:27.538192image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20 6761
 
7.5%
30 5691
 
6.3%
10 5382
 
6.0%
80 4555
 
5.1%
50 4125
 
4.6%
22 3822
 
4.2%
19 3612
 
4.0%
15 3527
 
3.9%
25 3479
 
3.9%
11 3076
 
3.4%
Other values (20) 46072
51.1%
ValueCountFrequency (%)
10 5382
6.0%
11 3076
3.4%
12 2538
2.8%
13 2135
 
2.4%
14 2625
2.9%
15 3527
3.9%
16 2215
2.5%
17 2461
2.7%
18 2130
 
2.4%
19 3612
4.0%
ValueCountFrequency (%)
90 2585
2.9%
80 4555
5.1%
71 471
 
0.5%
70 1641
 
1.8%
60 3031
3.4%
50 4125
4.6%
40 2204
 
2.4%
32 2522
2.8%
31 2947
3.3%
30 5691
6.3%

municipio
Real number (ℝ)

Distinct240
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.100741
Minimum0
Maximum565
Zeros20
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size704.1 KiB
2024-10-08T16:50:28.048984image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median17
Q340
95-th percentile120
Maximum565
Range565
Interquartile range (IQR)34

Descriptive statistics

Standard deviation59.141767
Coefficient of variation (CV)1.6382425
Kurtosis30.314689
Mean36.100741
Median Absolute Deviation (MAD)14
Skewness4.765023
Sum3252749
Variance3497.7486
MonotonicityNot monotonic
2024-10-08T16:50:29.236340image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 5346
 
5.9%
2 4700
 
5.2%
4 3721
 
4.1%
5 3685
 
4.1%
3 3080
 
3.4%
6 2949
 
3.3%
7 2827
 
3.1%
17 2600
 
2.9%
14 2375
 
2.6%
8 2363
 
2.6%
Other values (230) 56456
62.7%
ValueCountFrequency (%)
0 20
 
< 0.1%
1 5346
5.9%
2 4700
5.2%
3 3080
3.4%
4 3721
4.1%
5 3685
4.1%
6 2949
3.3%
7 2827
3.1%
8 2363
2.6%
9 2010
 
2.2%
ValueCountFrequency (%)
565 20
< 0.1%
560 24
< 0.1%
557 43
< 0.1%
554 19
< 0.1%
551 17
 
< 0.1%
547 22
< 0.1%
537 13
 
< 0.1%
531 23
< 0.1%
530 23
< 0.1%
525 22
< 0.1%

Nhog
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.3 MiB
1
90102 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters90102
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 90102
100.0%

Length

2024-10-08T16:50:30.095278image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-08T16:50:30.373681image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
1 90102
100.0%

Most occurring characters

ValueCountFrequency (%)
1 90102
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 90102
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 90102
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 90102
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 90102
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 90102
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 90102
100.0%

Interactions

2024-10-08T16:50:02.268650image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:19.870968image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:24.801332image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:29.130187image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:33.364788image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:37.713013image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:42.150329image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:45.999132image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:50.243905image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:55.114699image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:59.272522image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:03.701751image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:07.919243image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:12.341770image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:16.526011image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:20.551542image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:24.622992image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:28.576663image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:32.466717image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:36.244758image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:40.499894image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:44.455058image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:48.521100image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:52.396768image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:56.628999image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:50:02.464795image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:20.057518image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:24.950158image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:29.291815image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:33.539089image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:37.871406image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:42.307782image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:46.165637image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:50.494438image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:55.273213image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:59.427036image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:03.965219image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:08.078899image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:12.506427image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:16.747921image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:20.713772image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:24.830136image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:28.722928image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:32.618698image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:36.408678image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:40.658020image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:44.608557image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:48.672394image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
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2024-10-08T16:49:47.314781image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:51.198091image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:55.070357image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:50:00.519103image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:50:06.485685image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:23.716332image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:27.787660image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:32.263119image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:36.349620image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:40.732309image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:44.929355image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:49.002839image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:53.796877image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:58.163440image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:02.516222image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:06.860512image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:11.223052image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:15.320562image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:19.505224image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:23.573567image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:27.474429image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:31.429226image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:35.187284image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:39.299195image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:43.357899image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:47.462068image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:51.342320image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:55.271031image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:50:00.707440image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:50:06.806119image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:23.876906image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:27.973125image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:32.436167image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:36.585980image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:40.917157image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:45.085865image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:49.185316image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:54.050734image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:58.319823image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:02.695464image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:07.019801image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:11.393549image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:15.507163image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:19.658243image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:23.733589image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:27.632672image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:31.578647image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:35.347398image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:39.459512image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:43.524129image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:47.617626image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:51.504419image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:55.457893image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:50:00.969139image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:50:07.068540image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:24.038527image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:28.186173image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:32.599069image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:36.762977image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:41.074712image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:45.255702image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:49.346906image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:54.274624image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:58.482909image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:02.856861image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:07.176129image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:11.557199image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:15.723678image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:19.816055image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:23.883182image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:27.803866image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:31.734773image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:35.500791image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:39.619332image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:43.683439image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:47.780839image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:51.665871image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:55.645783image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:50:01.191598image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:50:07.401002image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:24.181565image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:28.421936image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:32.755528image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:36.914436image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:41.522918image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:45.419863image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:49.511228image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:54.460845image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:58.634703image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:03.023545image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:07.320879image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:11.719276image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:15.887947image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:19.961328image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:24.037410image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:27.978681image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:31.885784image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:35.652338image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:39.782800image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:43.827046image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:47.926887image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:51.813098image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:55.874153image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:50:01.402356image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:50:07.603065image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:24.326025image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:28.624093image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:32.903288image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:37.210629image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:41.670152image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:45.564352image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:49.662070image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:54.647828image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:58.796357image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:03.180723image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:07.457413image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:11.868032image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:16.042067image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:20.104989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:24.186128image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:28.122918image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:32.027288image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:35.799618image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:39.931823image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:43.976332image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:48.075829image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:51.956130image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:56.104031image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:50:01.575431image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:50:07.792766image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:24.479539image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:28.778316image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:33.050125image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:37.388567image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:41.834787image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:45.704194image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:49.832604image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:54.798259image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:58.941753image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:03.340046image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:07.609130image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:12.021320image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:16.194309image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:20.252625image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:24.322233image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:28.272523image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:32.168853image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:35.949071image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:40.084470image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:44.134226image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:48.217318image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:52.097049image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:56.291493image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:50:01.785299image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:50:08.008327image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:24.651471image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:28.986129image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:33.214880image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:37.556348image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:42.000431image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:45.864415image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:50.024986image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:54.964349image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:48:59.108101image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:03.512392image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:07.769384image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:12.191775image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:16.366868image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:20.401685image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:24.485101image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:28.430785image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:32.320440image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:36.103741image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:40.260523image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:44.306748image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:48.376810image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:52.254344image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:49:56.460438image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-08T16:50:02.035463image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

2024-10-08T16:50:30.940150image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
arrendabecasbene_gobdonativosentidadest_disestim_alqufactorfoliohogfolioviving_coringtrabjubilacionmunicipionegociootros_ingotros_trabremesasrentastrabajotrans_insttransf_hogtransferubica_geoupmutilidad
arrenda1.000-0.0030.0300.0030.000-0.0020.102-0.0030.000-0.0020.1250.0040.070-0.021-0.0040.0060.015-0.0010.721-0.0040.0130.0120.055-0.001-0.0020.049
becas-0.0031.000-0.0280.0010.077-0.0240.008-0.0170.000-0.0240.0310.041-0.030-0.030-0.0030.0060.022-0.011-0.0100.0420.003-0.0160.054-0.025-0.024-0.010
bene_gob0.030-0.0281.0000.107-0.0010.0640.025-0.0210.0110.064-0.102-0.2810.2050.0600.0760.005-0.0080.0540.014-0.2760.1540.0620.5160.0600.064-0.012
donativos0.0030.0010.1071.000-0.0310.050-0.0370.0040.0000.050-0.124-0.224-0.0220.024-0.0010.0220.0420.033-0.023-0.2040.0650.1400.3570.0490.050-0.036
entidad0.0000.077-0.001-0.0311.0000.0450.025-0.1840.0170.0450.0310.0170.039-0.025-0.040-0.011-0.020-0.0880.0100.025-0.013-0.018-0.0090.0450.0450.012
est_dis-0.002-0.0240.0640.0500.0451.000-0.0640.1720.0171.000-0.115-0.093-0.0270.3730.0640.0020.0280.006-0.003-0.0960.0970.0360.0390.9991.000-0.002
estim_alqu0.1020.0080.025-0.0370.025-0.0641.0000.0540.000-0.0650.4270.1490.222-0.088-0.041-0.002-0.039-0.0410.1340.135-0.003-0.0330.115-0.057-0.0650.094
factor-0.003-0.017-0.0210.004-0.1840.1720.0541.0000.0110.1730.0150.0120.0020.4350.030-0.011-0.024-0.033-0.0090.008-0.058-0.034-0.0260.1860.173-0.010
foliohog0.0000.0000.0110.0000.0170.0170.0000.0111.0000.0210.0000.0000.0000.0010.0000.0000.0000.0000.0000.0000.0000.0000.0000.0220.0170.000
folioviv-0.002-0.0240.0640.0500.0451.000-0.0650.1730.0211.000-0.116-0.093-0.0280.3770.0650.0020.0280.006-0.003-0.0970.0970.0360.0390.9991.000-0.002
ing_cor0.1250.031-0.102-0.1240.031-0.1150.4270.0150.000-0.1161.0000.7510.200-0.132-0.0410.0180.044-0.0420.1840.656-0.012-0.0650.046-0.108-0.1160.144
ingtrab0.0040.041-0.281-0.2240.017-0.0930.1490.0120.000-0.0930.7511.000-0.179-0.0940.0480.0160.099-0.145-0.0570.878-0.100-0.176-0.380-0.088-0.093-0.086
jubilacion0.070-0.0300.205-0.0220.039-0.0270.2220.0020.000-0.0280.200-0.1791.000-0.039-0.092-0.011-0.047-0.0410.050-0.1490.1240.0060.573-0.024-0.0280.003
municipio-0.021-0.0300.0600.024-0.0250.373-0.0880.4350.0010.377-0.132-0.094-0.0391.0000.086-0.0150.0090.020-0.024-0.1040.0360.0000.0130.3890.377-0.013
negocio-0.004-0.0030.076-0.001-0.0400.064-0.0410.0300.0000.065-0.0410.048-0.0920.0861.0000.0090.0500.026-0.037-0.2830.038-0.020-0.0210.0610.065-0.051
otros_ing0.0060.0060.0050.022-0.0110.002-0.002-0.0110.0000.0020.0180.016-0.011-0.0150.0091.0000.0480.0050.0050.0150.0170.0210.0080.0030.0020.001
otros_trab0.0150.022-0.0080.042-0.0200.028-0.039-0.0240.0000.0280.0440.099-0.0470.0090.0500.0481.0000.018-0.0010.0070.0520.027-0.0040.0270.028-0.017
remesas-0.001-0.0110.0540.033-0.0880.006-0.041-0.0330.0000.006-0.042-0.145-0.0410.0200.0260.0050.0181.000-0.015-0.1460.0250.0440.2400.0030.006-0.020
rentas0.721-0.0100.014-0.0230.010-0.0030.134-0.0090.000-0.0030.184-0.0570.050-0.024-0.0370.005-0.001-0.0151.000-0.054-0.003-0.0030.023-0.002-0.0030.699
trabajo-0.0040.042-0.276-0.2040.025-0.0960.1350.0080.000-0.0970.6560.878-0.149-0.104-0.2830.0150.007-0.146-0.0541.000-0.098-0.159-0.350-0.090-0.097-0.073
trans_inst0.0130.0030.1540.065-0.0130.097-0.003-0.0580.0000.097-0.012-0.1000.1240.0360.0380.0170.0520.025-0.003-0.0981.0000.0740.2600.0940.097-0.017
transf_hog0.012-0.0160.0620.140-0.0180.036-0.033-0.0340.0000.036-0.065-0.1760.0060.000-0.0200.0210.0270.044-0.003-0.1590.0741.0000.3980.0350.036-0.018
transfer0.0550.0540.5160.357-0.0090.0390.115-0.0260.0000.0390.046-0.3800.5730.013-0.0210.008-0.0040.2400.023-0.3500.2600.3981.0000.0370.039-0.021
ubica_geo-0.001-0.0250.0600.0490.0450.999-0.0570.1860.0220.999-0.108-0.088-0.0240.3890.0610.0030.0270.003-0.002-0.0900.0940.0350.0371.0000.999-0.002
upm-0.002-0.0240.0640.0500.0451.000-0.0650.1730.0171.000-0.116-0.093-0.0280.3770.0650.0020.0280.006-0.003-0.0970.0970.0360.0390.9991.000-0.002
utilidad0.049-0.010-0.012-0.0360.012-0.0020.094-0.0100.000-0.0020.144-0.0860.003-0.013-0.0510.001-0.017-0.0200.699-0.073-0.017-0.018-0.021-0.002-0.0021.000

Missing values

2024-10-08T16:50:08.420741image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-10-08T16:50:09.359052image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

foliovivfoliohogubica_geoing_coringtrabtrabajonegociootros_trabrentasutilidadarrendatransferjubilacionbecasdonativosremesasbene_gobtransf_hogtrans_instestim_alquotros_ingfactorupmest_disentidadmunicipioNhog
0202475501120020.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0639449192021
1700690702170890.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0640233010470891
2800735001180190.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0309252312380191
3901611406190030.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0174431091429031
4918427005190150.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01315338614190151
514139090061140900.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01003477223214901
622604645021220110.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0108718736922111
728007405061280090.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.062088014602891
830020570021300870.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01221947250430871
92200136705122014405.00.00.00.00.00.00.00.0405.00.00.00.00.00.0405.00.00.00.0219682735522141
foliovivfoliohogubica_geoing_coringtrabtrabajonegociootros_trabrentasutilidadarrendatransferjubilacionbecasdonativosremesasbene_gobtransf_hogtrans_instestim_alquotros_ingfactorupmest_disentidadmunicipioNhog
90092860140412180052471432.01612767.930.00612767.930.001855760.861855760.860.00.000.00.00.00.00.00.000.02903.220.015829891388051
90093301031603130082667344.252667344.252655737.700.0011606.550.000.000.00.000.00.00.00.00.00.000.00.000.0131957363081
9009416610380191160533098499.460.000.000.000.003077608.693077608.690.03471.420.00.00.00.00.03471.420.017419.350.0663539327316531
90095860140819180053283738.030.000.000.000.003268738.033268738.030.00.000.00.00.00.00.00.000.015000.000.015829891388051
90096802528203180193585983.130.000.000.000.003499259.663499259.660.014142.830.00.00.00.00.014142.830.072580.640.0598263512480191
90097808230706180503771994.003771994.003771994.000.000.000.000.000.00.000.00.00.00.00.00.000.00.000.0283295813480501
9009825038584061250125915139.375891913.57179021.735712891.840.000.000.000.00.000.00.00.00.00.00.000.023225.800.0263820040725121
90099803525204180326124150.93195314.90195314.900.000.005894135.285735019.28159116.05668.500.00.00.00.05668.50.000.029032.250.0328269213080321
9010018004035031180176431318.8791711.9391711.930.000.006329445.656329445.650.00.000.00.00.00.00.00.000.010161.290.0192575129418171
90101260205716120017153770.46284016.37284016.370.000.006854754.096854754.090.00.000.00.00.00.00.00.000.015000.000.041725292011